Severity of Autism Symptoms and Degree of Attentional Difficulties Predicts Emotional and Behavioral Problems in Children with High-Functioning Autism; a Two-Year Follow-up Study

Depression and parental distress among caregivers of autistic children: a serial mediator analysis in caregivers of autistic children

BACKGROUND

This study aimed to investigate the relationship between the severity of autism, emotional and behavioral problems of autistic children, internalized stigma, depressive symptoms, and primary caregiver parental stress. Specifically, we explored the mediating role of internal stigmatization and total difficulties of individuals with autism on parenting stress and depressive symptoms of the primary caregiver.

METHOD

Mothers of 93 children with autism were included in the study. The mothers were given the Beck Depression Inventory (BDI), The Internalized Stigma of Mental Illness Scale (ISMI), the Autism Behavior Checklist, the Parenting Stress Index-Short Form, Strength, and Difficulties Questionnaire -Parent Form (SDQ-P).

RESULTS

As a result of our study, the emotional and behavioral problems of the child and the internalized stigmatization felt by the parent played a mediator role in the relationship between the child's autism severity and the parent's stress and depressive symptoms.

CONCLUSIONS

Our findings highlight that internalized stigmatization and behavioral characteristics of individuals with autism are among the most critical problems for their primary caregivers. These results have important implications for the development of interventions aimed at reducing the internalized stigma experienced by primary caregivers of individuals with autism and for improving their mental health outcomes.

Early executive functioning predicts externalizing problems in neurodiverse preschoolers

Children with autism spectrum disorder (ASD) often exhibit externalizing problems, which have been linked with increased anxiety and depression, peer rejection, and parental stress. Identification of early predictors of externalizing behaviors in autism will facilitate identification of vulnerable children and implementation of early preventative interventions. There is ample evidence that executive functioning, social functioning, and temperament are predictive of later externalizing problems in general populations, but less is known about these relations in ASD and other neurodiverse populations, particularly in the early preschool years. To address this gap, we assessed the relations between executive functioning, social functioning, and temperament at age 3 and externalizing problems at age 5 in a sample of neurodiverse children with ASD and other neurodevelopmental disorders and delays. Analyses revealed that severity of early executive functioning impairment predicted increased externalizing problems. Severity of social autism symptoms moderated this relationship such that the effect of executive functioning on externalizing problems decreased as autism symptoms increased. These findings suggest that executive functioning is an important target for identifying and developing interventions for vulnerable children and underscore the necessity of considering severity of autism symptoms when researching the development of externalizing problems in children with neurodevelopmental disorders.

Practitioner Review: Attention-deficit hyperactivity disorder and autism spectrum disorder - the importance of depression

Young people with neurodevelopmental disorders, such as attention-deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD), show high rates of mental health problems, of which depression is one of the most common. Given that depression in ASD and ADHD is linked with a range of poor outcomes, knowledge of how clinicians should assess, identify and treat depression in the context of these neurodevelopmental disorders is much needed. Here, we give an overview of the latest research on depression in young people with ADHD and ASD, including possible mechanisms underlying the link between ADHD/ASD and depression, as well as the presentation, assessment and treatment of depression in these neurodevelopmental disorders. We discuss the implications for clinicians and make recommendations for critical future research in this area.

Sparse Hierarchical Representation Learning on Functional Brain Networks for Prediction of Autism Severity Levels

Machine learning algorithms have been widely applied in diagnostic tools for autism spectrum disorder (ASD), revealing an altered brain connectivity. However, little is known about whether an magnetic resonance imaging (MRI)-based brain network is related to the severity of ASD symptoms in a large-scale cohort. We propose a graph convolution neural network-based framework that can generate sparse hierarchical graph representations for functional brain connectivity. Instead of assigning initial features for each node, we utilized a feature extractor to derive node features and the extracted representations can be fed to a hierarchical graph self-attention framework to effectively represent the entire graph. By incorporating connectivity embeddings in the feature extractor, we propose adjacency embedding networks to characterize the heterogeneous representations of the brain connectivity. Our proposed model variants outperform the benchmarking model with different configurations of adjacency embedding networks and types of functional connectivity matrices. Using this approach with the best configuration (SHEN atlas for node definition, Tikhonov correlation for connectivity estimation, and identity-adjacency embedding), we were able to predict individual ASD severity levels with a meaningful accuracy: the mean absolute error (MAE) and correlation between predicted and observed ASD severity scores resulted in 0.96, and r = 0.61 (P < 0.0001), respectively. To obtain a better understanding on how to generate better representations, we investigate the relationships between the extracted feature embeddings and the graph theory-based nodal measurements using canonical correlation analysis. Finally, we visualized the model to identify the most contributive functional connections for predicting ASD severity scores.

The characteristics and factors of the internalizing and externalizing behaviours of children at high risk for autism spectrum disorder

BACKGROUND

The behavioral characteristics of children with autism spectrum disorder (ASD) are not only affected by their disease, but also by their parenting environment. HR-ASD has the risk of developing internalization and externalization problems. How the early development of these behavioral problems is affected by parent-child interaction is worth exploring. We tested whether parent-child interactions and parenting characteristics were associated with behavioural problems during the infant periods.

METHODS

This study collected data from 91 infants at high risk for ASD and 68 matched typically developing (TD) infants, about their internalizing and externalizing behavioural problems and engagement states (i.e. positive, negative, and parent-child interactions), using free play paradigm. Parent measures were assessed using the Broad Autism Phenotypic Questionnaire (BAPQ) and Parenting Stress Index Short Form (PSI-SF) questionnaire. The core symptoms of ASD were assessed using the the Autism Diagnostic Observational Schedule (ADOS).

RESULTS

During free play, infants in the HR-ASD group showed more internalizing (P < 0.001) and externalizing (P < 0.05) behaviours and less positive engagement (P < 0.01) than the TD group. In the regression analysis, we found that parenting stress had an impact on the infants' externalizing behaviours (△R2 = 0.215). Parent negative engagement had an impact on the infants' internalizing behaviours (△R2 = 0.451).

CONCLUSIONS

The present study revealed that children at high risk for ASD exhibited more severe internalizing and externalizing behavioural problems than TD group. The parent negative engagement is associated with behavioural problems. The findings on the contribution of parents' factors to behavioural problems suggests that the parenting stress and parent-child interactions are important factors for mitigating behavioural problems.

Declining Trajectories of Co-occurring Psychopathology Symptoms in Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder: A 10-Year Longitudinal Study

Objective: Our objective was to examine developmental trajectories of co-occurring psychopathology symptoms from childhood to young adulthood in individuals with Attention-Deficit/Hyperactivity Disorder (ADHD), individuals with Autism Spectrum Disorder (ASD), and typically developing (TD) individuals. Method: We assessed co-occurring psychopathology symptoms in 61 individuals with ADHD, 26 with ASD, and 40 TD individuals at baseline (T1; Mage = 11.72, 64% boys), 2-year follow up (T2; Mage = 13.77), and 10-year follow up (T3; Mage = 21.35). We analyzed trajectories of internalizing behaviors, externalizing behaviors, and total problems with linear mixed models. Results: From T1 to T3, the ADHD group displayed a small decline in internalizing behaviors (d = -0.49) and large declines in externalizing behaviors (d = -0.78) and total problems (d = -0.71). The ASD group displayed large declines in internalizing behaviors (d = -0.79), externalizing behaviors (d = -0.80), and total problems (d = -0.89). From T1 to T2, the decline in externalizing behaviors and total problems were significantly smaller in the ADHD group compared with the ASD group. The ADHD and the ASD group displayed more co-occurring symptoms compared with the TD group at T3. Conclusion: Individuals with ADHD and ASD, respectively, displayed declines in co-occurring symptoms from childhood to young adulthood. Individuals with ASD displayed an earlier decline compared with individuals with ADHD. Compared with TD individuals, individuals with ADHD and ASD, respectively, continued to display elevated levels of co-occurring symptoms in young adulthood.

Exploring the concurrent use of standardised and idiographic measures to assess cognitive behavioural therapy in a university student with autistic spectrum condition – a single case experimental design

Limited research has directly addressed the challenges of higher education for students with autism, who face additional difficulties in navigating social, personal and academic obstacles. With more students experiencing mental health difficulties whilst at university, therapeutic interventions on offer need to be suitable for those accessing support. Cognitive behavioural therapy (CBT) is widely used to support university students, as it is firmly established as an effective treatment for a range of issues, including social and generalised anxiety in typically developing populations (NICE, 2013; NICE, 2019). However, the efficacy of CBT for individuals with autistic spectrum condition (ASC) is less well known, despite the high prevalence rates of anxiety in this population. This paper seeks to address a gap in the literature and uses a single-case (A-B) experimental design over 16 sessions to reduce co-morbid social and generalised anxiety in a university student with high-functioning ASC. Clark’s (2001) cognitive model of social anxiety and Wells’ (1997) cognitive model of generalised anxiety were employed to formulate anxiety experienced in this case. Standardised outcome measures were used for social anxiety, i.e. the Social Phobia Inventory (SPIN), and generalised anxiety, i.e. the Generalised Anxiety Disorder-7 (GAD-7), in conjunction with idiographic ratings to assess the impact of therapy. Findings indicate that CBT was an acceptable and useful intervention with mixed results; discrepancies were found between clinical change recorded on standardised measures compared with idiographic ratings. This paper discusses the use of standardised measures of anxiety for individuals with ASC and identifies directions for further research.

Key learning aims

(1)

Autism and mood disorders

Individuals with autism experience substantially higher rates of mood problems compared to the general population, which contribute to reduced quality of life and increased mortality through suicide. Here, we reviewed evidence for the clinical presentation, aetiology and therapeutic approaches for mood problems in autism. We identified a lack of validated tools for accurately identifying mood problems in individuals with autism, who may present with 'atypical' features (e.g. severe irritability). Risk factors for mood problems in autism appear to be largely overlapping with those identified in the general population, including shared genetic, environmental, cognitive, physiological/neurobiological mechanisms. However, these mechanisms are exacerbated directly/indirectly by lived experiences of autism, including increased vulnerability for chronic stress - often related to social-communication difficulties(/bullying) and sensory sensitivities. Lastly, current therapeutic approaches are based on recommendations for primary mood disorders, with little reference to the neurobiological/cognitive differences associated with autism. Thus, we recommend: 1) the development and validation of (objective) tools to identify mood problems in autism and measure therapeutic efficacy; 2) an interactive approach to investigating aetiologies in large-scale longitudinal studies, integrating different levels of analysis (e.g. cognitive, neurobiological) and lived experience; 3) testing potential treatments through high-quality (e.g. sufficiently powered, blinded) clinical trials, specifically for individuals with autism.

Emotional and behavioural problems of children with autism spectrum disorder attending mainstream schools

Emotional and behavioural problems occur more commonly in children with Autism Spectrum Disorder (ASD) compared to other children. Few studies have focused on these problems in children with ASD attending mainstream schools. We assessed via parent report the emotional and behavioural problems in 160 children aged 4-17 years with ASD attending mainstream schools and investigated differences between the primary and secondary aged children. Children with ASD had higher levels of problems across all domains of the Strengths and Difficulties Questionnaire (SDQ) compared to UK norms. Within the ASD sample, SDQ scores were associated with male sex, living in a household with more children, more severe autism symptoms and fewer adaptive skills, and higher levels of family socio-economic risk. No robust primary-secondary school differences were found. Implications for future research and the support of children with ASD in mainstream school settings are discussed.

Exploring the Moderating Role of Benefit Finding on the Relationship Between Child Problematic Behaviours and Psychological Distress in Caregivers of Children with ASD

Caregivers of children with ASD often find benefits associated with their caregiving role, and benefit finding predicts lower distress. Child problematic behaviours (CPB), which positively predict caregivers' distress, are perceived to be being less problematic, or more manageable, by caregivers who find benefits. Benefit finding therefore might mitigate the negative psychological impact of CPB. A sample of n = 158 caregivers of children with ASD completed an online survey assessing benefit finding, CPB, and psychological distress. CPB positively, and benefit finding negatively, predicted caregivers' distress. Moderation effects however were not observed. Findings implicate increased CPB and lower benefit finding as risk factors for caregivers' psychological distress. Findings provide clearly definable targets for intervention.

Problem Behavior in Autism Spectrum Disorder: Considering Core Symptom Severity and Accompanying Sleep Disturbance

In addition to the core symptoms that define autism spectrum disorder (ASD), many individuals experience broader problem behavior at a level significant enough for families to seek further clinical assessment and intervention. We define "problem behavior" as any significant emotional or behavioral issue captured by the Child Behavior Checklist (CBCL) including anxiety, depression, withdrawal, somatic complaints, problems with socialization, thought or attention, rule-breaking, and aggression. While greater ASD symptom severity and accompanying sleep disturbance have each been linked with more severe problem behavior, there is little understanding about how these two key factors interact; that is, it is unclear whether the severity and type of sleep disturbance an individual experiences differentially influences the relationship between ASD symptom severity and problem behavior. The aim of the current study was, thus, to explore whether the link between greater ASD symptom severity and clinically elevated problem behavior is moderated by the presence/degree of accompanying sleep disturbance. Forty males with ASD, aged 5-12, participated in the study. The Social Responsiveness Scale, CBCL, and Children's Sleep Habits Questionnaire were administered to obtain information about ASD symptom severity, problem behavior, and sleep habits, respectively. Results indicated that the relationship between ASD symptom severity and problem behavior differed among individuals with ASD depending on the degree of sleep disturbance they experienced. Specifically, there was a significant positive relationship between ASD symptom severity and problem behavior for individuals with no sleep disturbance or milder sleep disturbance (i.e., in these cases, individuals with severe ASD symptoms experienced clinically elevated problem behavior, while those with milder ASD symptoms experienced milder problem behavior). In contrast, there was no significant relationship between ASD symptom severity and problem behavior for individuals with moderate-to-severe sleep disturbance; rather, clinically significant problem behavior was apparent across all individuals irrespective of ASD symptom severity. Follow-up analyses indicated that disturbances in sleep duration, disordered breathing, and daytime sleepiness were related to clinically elevated problem behavior even among those with milder ASD symptoms. These findings emphasize the importance of routinely assessing for accompanying sleep disturbance in this population regardless of whether individuals present with mild, moderate, or severe ASD.